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Pesticide Productivity: What are the Trends?

Published online by Cambridge University Press:  28 April 2015

Mark L. Teague  and
B. Wade Brorsen
Mark L. Teague
Affiliation:
Oklahoma State University, Stillwater, Oklahoma
B. Wade Brorsen
Affiliation:
Oklahoma State University, Stillwater, Oklahoma
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Abstract

Obtaining estimates of pesticide productivity is an economic response to the growing public concern about the steady increase of pesticide use in the United States. This type of research indicates the cost of limiting pesticide use in terms of foregone output. Previous empirical studies give a “snap-shot”, or “average”, look at pesticide productivity. This research effort employs a random coefficient model to determine the trend of the marginal value product of pesticides in agriculture in the United States. Results show a distinct downward trend in two states, Iowa and Texas. California, however, shows no evidence of a downward trend.

Keywords

pesticide productivitymarginal value productrandom coefficients

Information

Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 27 , Issue 1 , July 1995 , pp. 276 - 282
Copyright
Copyright © Southern Agricultural Economics Association 1995

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References

Brooke, Anthony, Kendrick, David, and Meeraus, Alexander. GAMS: A User's Guide. San Francisco, the Scientific Press, Release 2.25, 1992.Google Scholar
Campbell, H. F. “Estimating the Marginal Productivity of Agricultural Pesticides: The Case of Tree Fruit Farms in the Okanagan Valley.” Can. J. Agr. Econ. 24(1976):23–30.CrossRefGoogle Scholar
Carlson, G. A. “Long Run Productivity of Insecticides.” Amer. J. Agr. Econ. 59( 1977):543–548.CrossRefGoogle Scholar
Carrasco-Tauber, C. and Joe Moffit, L.. “Damage Control Econometrics: Functional Specification and Pesticide Productivity.” Amer. J. Agr. Econ. 74(1992): 158–172.CrossRefGoogle Scholar
Dent, W. and Hildreth, C.. “Maximum Likelihood Estimation in Random Coefficient Models.” J. Amer. Stat. Assoc. 72(1977):69–72.CrossRefGoogle Scholar
Froehlich, B. R. “Some Estimators for a Random Coefficient Regression Model.” J. Amer. Stat. Assoc. 68(1973):329–335.Google Scholar
Griffiths, W. E. “Estimation of Actual Response Coefficients in the Hildreth-Houck Random Coefficients Model.” J. Amer. Stat. Assoc. 67(1972):633–635.CrossRefGoogle Scholar
Griffiths, W. E., Drynan, R. G., and Prakash, S.. “Bayesian Estimation of a Random Coefficient Model.” J. Econometrics 10(1979):201–220.CrossRefGoogle Scholar
Headley, J. C. “Estimating the Productivity of Agricultural Pesticides.” Amer. J. Agr. Econ. 50(1968): 13–23.CrossRefGoogle Scholar
Hildreth, C, and Houck, J.. “Some Estimators for a Linear Model with Random Coefficients.” J. Amer. Stat. Assoc. 63(1968):584–595.Google Scholar
Judge, George G., Carter Hill, R., Griffiths, William E., Lutkepohl, Helmut, and Lee, Tsoung-Chao. Introduction to the Theory and Practice of Econometrics. New York: John Wiley & Sons, Second Edition, 1988.CrossRefGoogle Scholar
Judge, George G., Griffiths, William E., Carter Hill, R., Lutkepohl, Helmut, and Lee, Tsoung-Chao. The Theory and Practice of Econometrics. New York: John Wiley & Sons, Second Edition, 1985.Google Scholar
Lichtenberg, Erik, and Zilberman, David. “The Econometrics of Damage Control: Why Specification Matters.” Amer. J. Agr. Econ. 68(1986):261–273.CrossRefGoogle Scholar
Osteen, Craig, and Suguiyama, Luis. “Losing Chlorodimeform Use in Cotton Production: Its Effects on the Economy and Pest Resistance.” U.S. Dept. of Agr., Economic Research Service, Agricultural Economic Report No. 587, May 1988.Google Scholar
Pimentel, David, Krümmel, John, Gallahan, David, Hough, Judy, Merrill, Alfred, Schreiner, Ilse, Vitium, Pat, Koziol, Fred, Back, Ephraim, Yen, Doreen, and Fiance, Sandy. “Benefits and Costs of Pesticide Use in U.S. Food Production.” Bioscience 28(1978):772–783.CrossRefGoogle Scholar
Prokopy, R. “Toward A World of Less Pesticide.” Research Bulletin No. 710. Massachusetts Experiment Station College of Food and Natural Resources. University of Massachusetts at Amherst, 1986.Google Scholar
Roth, M. J., Martin, M. A., and Brandt, J. A.. “An Economic Analysis of Pesticide Use in U. S. Agriculture: A Metaproduction Function Approach.” Paper presented AAEA meetings, Utah State University, Logan, Utah, 1982.Google Scholar
U.S. Department of Agriculture, Economic Research Service. Economic Indicators of the Farm Sector, State Financial Summary. Washington, D.C.Google Scholar
U. S. Department of Agriculture, National Agricultural Statistics Service. Agricultural Chemical Usage. Washington, D.C, March 1992.Google Scholar
U. S. Department of Agriculture, National Agricultural Statistics Service. Agricultural Prices. Washington, D.C.Google Scholar
U. S. General Accounting Office. “Pesticides: EPA's Formidable Task to Assess and Regulate Their Risks.” Report to Congressional Requesters. GAO/RCED-86-1215, Washington, D.C, 1986.Google Scholar
White, Kenneth J.SHAZAM Econometrics Computer Program: User's Reference Manual, Version 7.0. New York: McGraw-Hill Book Company, 1993.Google Scholar